11 citations · 15 across the 7 of their papers we have counts for
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cs.CY2024
Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in Practice
Andrew Bell, Julia Stoyanovich
Concerns about the risks and harms posed by artificial intelligence (AI) have resulted in significant study into algorithmic transparency, giving rise to a sub-field known as Expla…
cs.CL2024★ 1 cited
Output Scouting: Auditing Large Language Models for Catastrophic Responses
Andrew Bell, Joao Fonseca
Recent high profile incidents in which the use of Large Language Models (LLMs) resulted in significant harm to individuals have brought about a growing interest in AI safety. One r…
cs.LG2024★ 2 cited
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity
Andrew Bell, Joao Fonseca, Carlo Abrate +2
Algorithmic recourse -- providing recommendations to those affected negatively by the outcome of an algorithmic system on how they can take action and change that outcome -- has ga…